The e-ROSA project seeks to build a shared vision of a future sustainable e-infrastructure for research and education in agriculture in order to promote Open Science in this field and as such contribute to addressing related societal challenges. In order to achieve this goal, e-ROSA’s first objective is to bring together the relevant scientific communities and stakeholders and engage them in the process of coelaboration of an ambitious, practical roadmap that provides the basis for the design and implementation of such an e-infrastructure in the years to come.
This website highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. If you have any comment or feedback on the bibliometric study, please use the online form.
You can access and play with the graphs:
- Evolution of the number of publications between 2005 and 2015
- Map of most publishing countries between 2005 and 2015
- Network of country collaborations
- Network of institutional collaborations (+10 publications)
- Network of keywords relating to data - Link
The study was conducted to supply systemic and dynamic analysis data to support a better operation on a breeding pig farm with process management, especially in reproduction parameters. A full simulation model on a breeding pig farm running was proposed in the study, and a series of definitions of process parameters related to service performance, farrowing performance and weaning performance was put forward. Some of them are described on the calculating models. The relationship structural database was designed and a set of digital management information system was developed, based on proposed definitions and models by using Visual Basic 6.0. Access databases and Crystal report combined with genetic characteristic of different pig breeds. The System supplies a series of convenient, intelligent input interfaces of original datum, and all different reproduction data can be counted, analyzed and graphically shown, based on different performances in a specific duration, and it can dynamically derive out all sows history card that shows a complete reproduction performances including some important indexes such as farrowing rate, farrowing interval, average gestation days and average weaned weight et al. in terms of parities, which can be used to decide whether a female needs to be fell into disuse. Therefore, with the help of system analysis and software design techniques, the system made it possible to realize information management and intelligence analysis for a breeding pig farm based on whole digital management of reproduction process from services through weaning and among different categories of breeding pigs and parities.
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